Machine Learning Developer – Quant Strategies
An exciting position has become available with an innovative investor who is looking for a Machine Learning Developer to focus on quantitative strategies and research.
This exciting new role will give the Machine Learning Developer an opportunity to work alongside some of the brightest minds in the industry as well as on some of the most exciting technologies in the sector.
In terms of day-to-day activities you will be building brand-new statistical models across a number of different applications/sectors including equities and commodities. You will be liaising with partners from across the business with the sole aim of delivering robust solutions to their requirements and outperforming the competition.
This role will provide you with a forward-thinking work environment whilst also giving you the opportunity to make a real-world difference. It is anticipated that you will become the machine learning authority and will regularly attend events and deliver presentations.
To be considered for this exciting role you will need to have a degree in Mathematics, Computer Science or Physics as well as strong knowledge of python or C++. This will be coupled with hands-on development experience within a highly scientific field or quant strat.
In exchange for your skills and expertise, the company offer a highly competitive package as well as providing excellent career progression and training. The company also offer relocation packages to make a move as easy as possible for you. Due to the nature of the business you will always have something new on the horizon as well time dedicated to personal projects and ideas.
For more details make a confidential application now and a member of our team will be in touch.
Newton Colmore Consulting is a highly specialist recruitment consultancy operating within the medical devices, machine learning and scientific technology sectors, across Europe. We partner with companies, ranging from early stage start-ups through to multinationals, helping them secure highly sought after skill sets.
Key words: Data Scientist, Algorithm Developer, Equity Research, Investments, Quantitative Research, Bayesian Statistics, Mathematics, Computer Science, Analytical Algorithms, Python. C++, Monte Carlo.....Read more...
This role will give the successful candidate the opportunity to develop and use skills in data analysis, data manipulation, data visualisation and data science to support Ofcom’s work in regulating the UK’s communication markets. Data professionals in the R&I team are supported and empowered to display strong analytical skills, using a range of tools and innovative techniques, to provide robust evidence to power Ofcom’s policy and decision making. They lead and contribute to high quality analysis of communications market data and deliver high quality internal and external publications. The successful candidate for this role will be enrolled in a Level 6 Data Scientist Integrated Degree Apprenticeship.
Your Key Responsibilities
Use data analysis and visualisation tools to explore, transform and analyse datasets of varying sizes and structures from a range of sources, producing clear, repeatable and robust findings.
Data Scientist Apprentice Strategy and Research Group Manchester
Present analysis in a concise, clear, and easily accessible way using graphs, charts, well-written text, interactive reports and presentations.
Engage with project teams in Strategy and Research Group and throughout Ofcom to determine and satisfy their analysis requirements.
Inclusivity is at the heart of what we do.Training:BPP apprenticeship training programmes are delivered virtually by our fully qualified and industry-experienced training team. Using their expert knowledge, we’ve purposefully built our programmes around the real-world use of modern technology, so that the skills we create can be directly applied in the workplace.
Throughout the apprenticeship learners receive coaching, help and guidance from a dedicated team who are there to ensure they get the most from their work experience.Training Outcome:Opportunity for a full-time role upon the successful completion of the apprenticeship, subject to performance and a permanent position being available.Employer Description:Ofcom is the regulator for the communications services that we use and rely on each day.
We make sure people get the best from their broadband, home phone and mobile services, as well as keeping an eye on TV and radio.
We also oversee the universal postal service, which means Royal Mail must deliver and collect letters six days a week, and parcels five days a week, at an affordable and uniform price throughout the UK.
We look after the airwaves used by wireless devices like cordless phones, walkie talkies and even some car keys and doorbells.
We also help make online services safer for the people who use them, by making sure companies have effective systems in place to protect users from harm.
We also help to make sure people don’t get scammed and are protected from bad practices. This is particularly important for vulnerable or older people.
Our duties come from Parliament. Our priority is to look after you, and we sometimes do this by promoting competition among companies we regulate.
We provide advice and information to thousands of people each year, through our website and call centre. We register complaints from people and businesses, which helps us to take action against firms when they let their customers down. Parliament has not given us powers to resolve people’s complaints about their broadband, home phone or mobile phone. Instead, these can be considered by alternative dispute resolution services.
We also help to make sure people across the UK are satisfied with what they see and hear on TV and radio, and that programmes reflect the audiences they serve. We consider every complaint we receive from viewers and listeners. Often, we investigate further and we sometimes find broadcasters in breach of our rules.
We are independent and funded by fees paid to us by the companies we regulate.Working Hours :Monday - Friday, 9:00am - 5:00pm.Skills: Communication skills,Attention to detail,Problem solving skills,Curiosity,Excellent numeracy skills,Collaborative skills,Methodical & logical approach,Enthusiasm & commitment....Read more...
